Please use this identifier to cite or link to this item:
Title: Genetic algorithm for multi objective optimization
Authors: Polupan, Vladimir
Cherednichenko, Galina
Keywords: programming
genetic algorithms
генетичні алгоритми
генетические алгоритмы
кафедра автоматизації та комп'ютерних технологій систем управління
Issue Date: 2016
Citation: Polupan, V. Genetic algorithm for multi objective optimization / V. Polupan, G. Cherednichenko // Food Science for Well-being (CEFood 2016) : 8th Central European Congress on Food, 23–26 May 2016. – Kyiv : NUFT, 2016. – P. 105.
Abstract: Many, if not most, optimization problems have multiple objectives. Historically, multiple objectives have been combined ad hoc to form a scalar objective function, usually through a linear combination (weighted sum) of the multiple attributes, or by turning objectives into constraints.
Appears in Collections:Тези доповідей

Files in This Item:
File Description SizeFormat 
CEFood_тези 2.pdf99,51 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.